An Interval Multi-objective Particle Swarm Optimization Algorithm with Niching Technology for Multimodal Problems
This paper proposes an interval multi-objective niching particle swarm optimization (IMNPSO) algorithm for solving interval multimodal multi-objective optimization problems (IMMOPs). Firstly, in order to locate and maintain multiple optimal solutions, an interval niching PSO (INPSO) algorithm using...
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| Veröffentlicht in: | Chinese Control and Decision Conference S. 4018 - 4023 |
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| Format: | Tagungsbericht |
| Sprache: | Englisch |
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IEEE
20.05.2023
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| ISSN: | 1948-9447 |
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| Abstract | This paper proposes an interval multi-objective niching particle swarm optimization (IMNPSO) algorithm for solving interval multimodal multi-objective optimization problems (IMMOPs). Firstly, in order to locate and maintain multiple optimal solutions, an interval niching PSO (INPSO) algorithm using a ring topology is introduced, and a dual archive mechanism is used to store personal and neighborhood best positions of all particles. Then, a fast non-dominated sorting algorithm based on interval analysis and the interval special crowding distance (ISCD) calculation method are presented, which are combined to form the sorting mechanism of interval particles in IMNPSO. Finally, several multi-objective test functions are selected, and the results demonstrate the effectiveness of the proposed algorithm. |
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| AbstractList | This paper proposes an interval multi-objective niching particle swarm optimization (IMNPSO) algorithm for solving interval multimodal multi-objective optimization problems (IMMOPs). Firstly, in order to locate and maintain multiple optimal solutions, an interval niching PSO (INPSO) algorithm using a ring topology is introduced, and a dual archive mechanism is used to store personal and neighborhood best positions of all particles. Then, a fast non-dominated sorting algorithm based on interval analysis and the interval special crowding distance (ISCD) calculation method are presented, which are combined to form the sorting mechanism of interval particles in IMNPSO. Finally, several multi-objective test functions are selected, and the results demonstrate the effectiveness of the proposed algorithm. |
| Author | Guan, Shouping Li, Xinyu |
| Author_xml | – sequence: 1 givenname: Shouping surname: Guan fullname: Guan, Shouping email: guanshouping@ise.neu.edu.cn organization: Northeastern University,College of Information Science and Engineering,Shenyang,China – sequence: 2 givenname: Xinyu surname: Li fullname: Li, Xinyu email: xinyuli99@163.com organization: Northeastern University,College of Information Science and Engineering,Shenyang,China |
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| Snippet | This paper proposes an interval multi-objective niching particle swarm optimization (IMNPSO) algorithm for solving interval multimodal multi-objective... |
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| SubjectTerms | Aerospace electronics crowding distance interval particle swarm optimization (IPSO) multimodal multi-objective optimization niching technology Optimization Particle swarm optimization Simulation Sorting Topology |
| Title | An Interval Multi-objective Particle Swarm Optimization Algorithm with Niching Technology for Multimodal Problems |
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